Results 31 to 40 of about 757,673 (309)
Time-Series and Network Analysis in Quantum Dynamics: Comparison with Classical Dynamics [PDF]
International Journal of Theoretical Physics, 2020 Time-series analysis and network analysis are now used extensively in diverse areas of science. In this paper, we applythese techniques to quantum dynamics in an optomechanical system: specifically, the long-time dynamics of the mean photon number in an archetypal tripartite quantum system comprising a single-mode radiation field interacting with a two-
Pradip Laha +2 more
openaire +3 more sources
Implementation of bagging in time series forecasting
Российский технологический журналObjectives. The purpose of the article is to build different models of bagging, to compare the accuracy of their forecasts for the test period against standard models, and to draw conclusions about the possibility of further use of the bagging technique ...
Ia. V. Gramovich +2 more
doaj +1 more source
Dynamic time series binary choice [PDF]
, 2007 This paper considers dynamic time series binary choice models. It proves near epoch dependence and strong mixing for the dynamic binary choice model with correlated errors.
de Jong, Robert M., Woutersen, Tiemen
core +1 more source
Analysis of approaches to identification of trend in the structure of the time series
Российский технологический журналObjectives. The study set out to compare the forecasting quality of time series models that describe the trend in different ways and to form a conclusion about the applicability of each approach in describing the trend depending on the properties of the ...
U. S. Mokhnatkina +2 more
doaj +1 more source
Time series canopy phenotyping enables the identification of genetic variants controlling dynamic phenotypes in soybean [PDF]
, 2022 Advances in plant phenotyping technologies are dramatically reducing the marginal costs of collecting multiple phenotypic measurements across several time points. Yet, most current approaches and best statistical practices implemented to link genetic and
Yang, J. +28 more
core +1 more source
Neural network analysis in time series forecasting
Российский технологический журналObjectives. To build neural network models of time series (LSTM, GRU, RNN) and compare the results of forecasting with their mutual help and the results of standard models (ARIMA, ETS), in order to ascertain in which cases a certain group of models ...
B. Pashshoev, D. A. Petrusevich
doaj +1 more source
Using Wavelets to Identify Linear Dynamic Models [PDF]
المجلة العراقية للعلوم الاحصائيةThe forecasting process of water cleaning in the city of Mosul was studied using the input and output variables represented by some tests performed on raw water before the filtration process, to be treated through multiple filtration stages. To determine
Youns M. Th. Al.Obeady +2 more
doaj +1 more source
Multi-Task Time Series Forecasting Based on Graph Neural Networks
Entropy, 2023 Accurate time series forecasting is of great importance in real-world scenarios such as health care, transportation, and finance. Because of the tendency, temporal variations, and periodicity of the time series data, there are complex and dynamic ...
Xiao Han +5 more
doaj +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source